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Altered ventral neck muscle deformation for
individuals with whiplash associated disorder
compared to healthy controls - A case-control
ultrasound study
Gunnel Peterson, Asa Dedering, Erika Andersson, David Nilsson, Johan Trygg, Michael
Peolsson, Thorne Wallman and Anneli Peolsson
Linköping University Post Print
N.B.: When citing this work, cite the original article.
Original Publication:
Gunnel Peterson, Asa Dedering, Erika Andersson, David Nilsson, Johan Trygg, Michael
Peolsson, Thorne Wallman and Anneli Peolsson, Altered ventral neck muscle deformation for
individuals with whiplash associated disorder compared to healthy controls - A case-control
ultrasound study, 2015, Manual Therapy, (20), 2, 319-327.
http://dx.doi.org/10.1016/j.math.2014.10.006
Copyright: Elsevier
http://www.elsevier.com/
Postprint available at: Linköping University Electronic Press
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-115920
Altered ventral neck muscle deformation for individuals with Whiplash
Associated Disorder compared to Healthy Controls; a case-control Ultrasound
study
Gunnel Peterson, PT, MSc,1,2, Åsa Dedering,PT PhD3, Erika Andersson, MSc2, David Nilsson
Phd4, Johan Trygg PhD, Prof4, Michael Peolsson CE, Phd4, Thorne Wallman, MD, PhD1, 5,
Anneli Peolsson, PT, PhD, Assoc. Prof2
1 Centre for Clinical Research Sörmland, Uppsala University, Eskilstuna, Sweden
2Department of Medical and Health Sciences, Division of Physiotherapy, Faculty of Health
Sciences, Linköping University, Linköping, Sweden
3Department of Neurobiology, Care Sciences and Society, Division of
Physiotherapy, Karolinska Institutet and Department of Physical Therapy, Karolinska
University Hospital, Sweden
4 Department of Chemistry, Computational Life Science Cluster, Umeå University, Sweden
5Uppsala University, Public Health & Caring Sciences, Family Medicine & Preventive
Medicine Section, Uppsala, Sweden
Address correspondence to Gunnel Peterson, Division of Physiotherapy, Department of
Medical and Health Sciences, Linköpings University, SE-581 83 Sweden. E-mail:
Keywords
Whiplash injury; ultrasonography; neck muscles
INTRODUCTION
Some long-lasting symptoms associated with whiplash-associated disorders (WAD)
(Berglund et al., 2001; Kongsted et al., 2007; Carroll et al., 2009) may be due to impaired
neck muscle function with altered motor control patterns (Jull et al., 2004; Woodhouse and
Vasseljen, 2008; O'Leary et al., 2011). Changed activation of the deep muscle layer (Falla et
al., 2004a), which is thought to stabilize the spine (Panjabi, 1992; Mayoux-Benhamou et al.,
1994), might increase neck disability. Magnetic resonance imaging can non-invasively
distinguish between the deep cervical flexors, longus capitis (Lcap), and longus colli (Lco)
(Cagnie et al., 2008; Cagnie et al., 2010; Elliott et al., 2010); but cannot be used to investigate
muscles during movement. Surface electromyography (EMG) has demonstrated increased
activity in the sternocleidomastoid (SCM) muscle (Falla et al., 2004b; Jull et al., 2004) and
invasive EMG studies (electrode contacts inserted through the nose) reported a delayed
activation of the deep cervical flexors in chronic neck pain (Falla et al. 2004a; Falla et al.
2004c). Nevertheless, EMG investigations run a risk of cross-talk between muscles, and
cannot distinguish between the Lcap and Lco. Still image ultrasonography can measure the
thickness of deep ventral neck muscles (Cagnie et al., 2009; Javanshir et al., 2011), but it
provides no information about neck muscle function during real-time motion. With
ultrasound, the muscle of interest may be influenced by neighboring tissues or external
pressure from the probe. Nevertheless; the ability to investigate deep and superficial muscle
functions together, during real time activations (Lopata et al., 2010; Peolsson et al., 2010
Peolsson et al., 2014) makes this method interesting. Speckle tracking is a post-process
method for analyzing ultrasound images; it facilitates measuring muscle deformations
(elongations and shortenings) and deformation rates, and this information has improved our
understanding of real time (Lopata et al., 2010) mechanical neck muscle function in different
muscle layers (Peolsson et al., 2012). To our knowledge, this approach has not been
previously applied in individuals with chronic WAD. The objective of the present study was
to compare deformations and deformation rates in the SCM, Lcap, and Lco in individuals
with WAD vs. control subjects, during repetitive arm elevations. In addition, we aimed to
determine if the interplay of the three muscles differed between the WAD and control groups.
We hypothesized that deformation and deformation rates would be increased in the SCM and
decreased in the Lcap and Lco for individuals with chronic WAD compared to healthy
controls.
METHODS
Participants
Twenty-six individuals, 20 women and 6 men (mean age 37 years, SD; 10.6) with persistent
neck pain after a whiplash injury and 26 controls, matched for age and sex, participated in the
study (Table 1). As no previous study has compared deformation and deformation rate
between WAD and controls, the sample size was arbitrary.
Individuals with WAD were consecutively recruited for ultrasound investigation from a
larger, ongoing, randomized controlled trial (Peolsson et al., 2013).
For study eligibility, individuals had to report neck pain in the right side of the neck, right-
handedness, and fluency in Swedish. Study inclusion criteria were positive manual
examination findings that corresponded to WAD grade II (neck pain and musculoskeletal
signs) or III (neck pain plus neurological signs) (Spitzer et al., 1995); persistent neck pain
rated greater than 20 mm on a visual analogue scale (VAS), and/or neck disability greater
than 20% (MacDermid et al., 2009), measured with the neck disability index (NDI); aged 18
– 63 years; and ongoing symptoms associated with a whiplash injury that started six months
to three years prior to study entry.
Exclusion criteria were signs of traumatic brain injury at the time of whiplash injury; known
or suspected serious pathology; previous fracture or luxation in the cervical spine;
contraindication to exercise; neuromuscular diseases; rheumatologic disease; previous serious
neck pain that warranted more than 1 month of sick leave in the year prior to their whiplash
injury; severe mental illness; or current alcohol or drug abuse.
The healthy controls were recruited from university staff, hospital staff, and acquaintances.
Exclusion criteria were current or past neck problems; trauma to the neck or head including
whiplash injury; neck or low back pain; rheumatologic or neurologic disease; or generalized
myalgia. The study was approved by the Regional Ethics Review Board and was conducted
according to the Declaration of Helsinki. Written informed consent was obtained from all
participants.
Ultrasound measurements
The ventral neck muscles were recorded with a B-mode, 2-D ultrasound Vivid-I scanner (GE
Healthcare, Horten, Norway). The ultrasound was equipped with a 12 MHz linear transducer
(38 mm) with high frame rate (235 frames/s). Ultrasound measurements of the SCM, Lcap,
and Lco were recorded during repetitive arm elevations. Each test included 10 arm
elevations, and ultrasound images (“video” sequences) were acquired during the first and
tenth arm elevations. The ultrasound probe was positioned at the C4 level on the right side of
the neck (Fig. 1a). The segmental level was verified with a transverse ultrasound projection
of the bifurcation of the carotid artery, commonly observed at the C4 level. The transducer
was then rotated to a longitudinal position, which allowed optimal imaging of the SCM,
Lcap, and Lco muscles. All ultrasound measurements were acquired in this longitudinal
position (Fig. 1b).
Speckle tracking
Ultrasound of muscle results in reflection of sound waves, which serve as acoustic markers
because they form a unique speckle pattern. Briefly, a region of interest (ROI) was manually
placed in the first frame of the video sequence of each muscle. Tracking the unique speckle
pattern of the respective ROI was based on an algorithm developed by Kanade-Lukas-Tomasi
(KLT) (Lucas and Kanade, 1981; Tomasi and Kanade, 1991), which was further enhanced
(Farron et al., 2009). Accordingly, when the muscle speckle pattern changes length, the
tracked ROI also changes in length, and the unique pattern can be followed frame by frame
throughout the ultrasound images. The ROI comprises a large number of points placed
equidistant between the two endpoints. The frame to frame displacement can then obtained
with a least squares fit, assuming a linear strain model. The displacement of all points within
the ROI were summed, to obtain a cumulative sum from all frames in the movie which
provided quantitative information of muscle behavior during the arm elevation.
Muscle Deformation was defined as a change in ROI length (elongation or shortening),
calculated as the percentage change (% deformation) from the original length; provided
information about local tissue dynamics. The Muscle Deformation Rate was defined as the
rate of the change in deformation, expressed as the amount of deformation per time unit (%
deformation/s). Three ROIs (each ROI was 10 × 3.3 mm) were positioned longitudinally in
each of the muscles (i.e., oriented longitudinal to the muscle fibers); together, the three ROIs
covered 30 mm of the unique speckle pattern in each muscle (Fig. 2). The magnitude of
muscle deformation measured with speckle tracking was positively related to other
measurements used to investigate muscle deformation (force measurements and progressive
electrical stimulation) (Lopata et al., 2010). The reliability of the speckle tracking analysis
method was shown to have excellent test-retest reliability (two-way random absolute
agreement single measure intraclass correlation coefficient [ICC)] 0.71-0.97) (Peolsson et al.
in press).
Test procedure
Two experienced physiotherapists were present during the test, one performed the ultrasound
examination and the other assisted the ultrasound examiner. The experiment was designed to
resemble activities that might increase neck pain in individuals with poor functional recovery
after whiplash injury; for example, performing a job with repetitive arm lifting (Sullivan et
al., 2010). To standardize the test; we included only right-handed individuals with dominant
right-sided neck pain (Fig. 1b). Before the measurements began, the individual practiced the
test with the left arm.
Other measurements
Pain
The average pain intensity experienced over the prior week was assessed with a visual
analogue scale (VAS 0-100 mm scale, 0 = no pain, 100 = worst imaginable pain) (Carlsson,
1983).
Neck disability
Disability was measured with the neck disability index (NDI). The NDI consists of 10 items,
expressed as a percentage (total possible score 100%), with higher scores indicating greater
disability (MacDermid et al., 2009).
Physical activity
Subjects answered questions about daily life activities (walking, cycling to work etc.) and
exercise beyond daily life activities performed over the last 12 months. The answers were
combined to calculate the activity index (1 = inactivity, 2 = low activity, 3 = moderate
activity, 4 = high activity) (Kallings et al., 2008).
Neck muscle fatigue
The participants rated fatigue in the neck muscles before and after the ultrasound test on a
Borg CR-10 scale (0 = no fatigue, 10 = extremely strong fatigue), (Borg, 1990).
Data analyses
Ultrasonography data were post-processed with speckle tracking methodology implemented
with a program designed in-house for Matlab (Matlab., 2013). The KLT tracking algorithm
was part of the Computer Vision toolbox of Matlab. To evaluate muscle deformations for the
first and tenth arm elevations, the areas on the deformation curves were calculated (Fig. 3).
Deformation rate results are presented as the root mean square (RMS), which gives
information about the local tissue velocity of deformation. Therefore, the deformation and
deformation rate measure the mechanical function of the muscle.
The ultrasound video images were coded during the post-process analyses. Thus, the analyzer
(the PT with three years of experience with speckle-tracking analyses) was blinded to the
group affiliation
Statistical analyses
All data analyses were performed with SPSS statistical software, version 20. Demographic
variables were compared between groups using the two-tailed unpaired Students t-test and the
Chi2 test. Between-group differences in physical activity levels and neck muscle fatigue were
analyzed with the Mann Whitney U test.
Deformation measurements were skewed; therefore, non-parametric tests were applied. The
deformation rate data were normally distributed and parametric tests were applied. The
correlations of deformations among the SCM, Lcap, and Lco during the first and tenth arm
elevations were evaluated with Spearman’s rho test (for deformation) and Pearson’s
correlation (for deformation rate). Linear regression models were applied to investigate the
relationships of the deformations and the deformation rate among the three muscles
(SCM/Lcap, SCM/Lco, Lcap/Lco) for individuals in both groups (control and WAD). One
outlier (WAD) in the deformation rate and one outlier from each group (WAD/Control) in the
deformation had some impact on the results for correlation and linear regression analysis;
therefore these where excluded from the analysis.
A mixed design analysis of variance (ANOVA) with Bonferroni correction was used to
evaluate the change in deformation rate. The groups (control and WAD) were the between-
subjects variable, the three muscles (SCM, Lcap, and Lco) were the within-subject variables,
and the analysis was adjusted for the duration of each arm elevation. The deformation values
were positive-skewed, and the assumptions of variance were violated (Levene´s test p <
0.05). Thus, the data were analyzed with the non-parametric test, Friedman ANOVA, and the
Mann Whitney U test.
We used the Wilcoxon signed-rank test for paired two group analyses of differences in the
deformation between the first and tenth arm elevations and the paired sampled T-test for
deformation rates. P-values ≤0.05 were considered significant. Effect sizes (ES) were
calculated for the deformations 𝐸𝑆 =𝑍
√𝑁 (non-parametric; z-score divided by the square root
of the number of total observations [N]) and deformation rates 𝐸𝑆 = √𝑡2
𝑡2+𝑑𝑓 (parametric; the
square root of the t-score x t-score (t2) divided by t2 + degree of freedom [df])
RESULTS
Deformation
Comparisons between the WAD and control groups
When evaluating deformation, the only significantly different finding was that the SCM was
less elongated in individuals with WAD compared with controls during the first arm
elevation (Table 2).
Comparison between the first and tenth arm elevations
In controls, all three ventral neck muscles showed significantly less deformation (total area)
during the tenth arm elevation compared to the first elevation and the muscles were activated
with less shortening (ES: 0.42 to 0.70). In individuals with WAD, only the SCM showed less
deformation in the tenth than in the first elevation, and it was also activated with less
shortening (ES: 0.68) (Table 2).
Deformations of SCM, Lcap, and Lco during the first and tenth arm elevations
In both groups, the deformations observed in the three muscles were significantly different
during the arm elevations. The total area was lower in the SCM than the Lcap and Lco.
Correlation
When control subjects performed arm elevations, the deformations in the first elevation
significantly correlated between SCM/Lcap (r = 0.50) and SCM/Lco (r = 0.59); in addition,
the strength of correlations increased during the tenth arm elevation for all three muscle pairs
(r = 0.51 to 0.80). For individuals with WAD, there was no correlation among muscles during
the first arm elevation, while there were correlation between SCM/Lcap (r = 0.40) and
Lcap/Lco (r = 0.73) during the tenth elevation during the tenth elevation (Table 3).
Linear relationship
For controls, there was a positive linear relationship between all muscle pairs (SCM/Lco,
SCM/Lcap, and Lcap/Lco ) that increased from the first to the tenth arm elevation. In
contrast, individuals with WAD, only showed a positive linear relationship for Lcap/Lco
during the tenth arm elevation (Fig. 4 a-f).
Deformation rate
Differences in deformation rates between and within groups (control and WAD)
A significant main effect between groups was observed in the deformation rate during the
tenth arm elevation, F(1,48) = 5.3 (p < 0.01), where individuals with WAD showed an
increased Lco deformation rate compared to controls F (1,48) = 4.6. In addition, both groups
showed a significant interaction effect between muscles, the SCM showed a lower rate than
Lcap and Lco in the tenth arm elevations, F(1,48) = 7.2 (p < 0.01). No significant between-
group effect was observed during the first arm elevation, F(1,46) = 0.81. For controls, the
deformation rates decreased during the tenth arm elevation compared to first in all three
muscles. For individuals with WAD, the deformation rates only decreased in the tenth arm
elevation compared with the first for the SCM (Table 4).
Correlation
For controls, during both the first and tenth arm elevations, the deformation rates were
significantly correlated among all three muscles (r = 0.51 to 0.84). For individuals with
WAD, the first arm elevations, showed significant correlations among all three muscles (r =
0.55 to 0.66); while, in the tenth arm elevations only the Lcap and Lco were correlated (r =
0.49) (Table 3).
Linear relationship
For controls, the positive linear relationship for SCM/Lcap increased from the first to tenth
arm elevations. The relationships between SCM/Lco and Lcap/Lco were the same for both
arm elevations. Individuals with WAD, showed a decreased linear relationship from the first
to tenth arm elevations for all three muscle pairs (Fig 5 a-f).
Neck muscle fatigue
The WAD group showed significantly higher fatigue (median 4.0, IQR: 2.7 to 5.2) compared
to controls (median 0.0, IQR: 0 to 0) (p < 0.001) before the first arm elevation. After the tenth
arm elevation the fatigue did not changed for either group (WAD [median 4.0, IQR: 2.7 to
6.0], controls [median 0.0, IQR: 0 to 0.1]).
DISCUSSION
We found only a few significant differences between individuals with WAD and healthy
controls in the deformations and deformation rates for the SCM, Lcap, and Lco muscles. Our
results did reveal that the interplay between pairs of muscles, SCM/Lco, SCM/Lcap, and
Lcap/Lco, was altered in the WAD group compared with the control group. Based on earlier
studies, we hypothesized that SCM activity would increase and activity in the deep neck
flexors would decrease during arm movements for individuals with WAD compared to
controls (Falla et al., 2004b; Falla et al., 2004c; Jull et al., 2004). However, our results did not
confirm the hypothesis of group differences between healthy controls and individuals with
WAD. An explanation could be that highly individual muscle patterns, made it difficult to
detect significant differences between groups, due to large standard deviations. Another
explanation for the lack of differences in group level findings could be that ultrasound data
from the present study were not directly comparable to EMG data from earlier studies (Falla
et al., 2004a; Falla et al., 2004b; Jull et al., 2004). EMGs measure muscle action potentials,
which reflect the chemical-electrical changes in muscles and nerves; in contrast, real-time
ultrasound measure deformation. Deformation was calculated from a series of measurements
(235 measurments/s) taken during arm elevation (average elevation time 2.5 s), that produced
a curve of muscle elongation and shortening (Fig. 3). On that curve, a greater area
represented greater deformation.
In controls, we observed an individual muscle pattern of low deformation and deformation
rates or high deformation and deformation rates in SCM/Lco, SCM/Lcap and Lcap/Lco. In
individuals with WAD, this correlation was altered, which may indicate diminished
cooperation between muscles after ten arm elevations. The linear relationship between
superficial and deep neck muscles (SCM/Lco and SCM/ Lcap) was increased in the control
group (moderate to strong) compared to the diminished or weakened relationship for the
WAD group (Fig 4 and 5 a-d). The linear relationship between Lcap/Lco deformations
increased from weak to moderate from the first to tenth arm elevation in both the WAD and
control groups (Fig 4 e,f). However, the relationship between the Lcap/Lco deformation rates
decreased from moderate to weak from the first to tenth arm elevation in the WAD group;
whereas, controls showed a moderate relationship during both the first and tenth arm
elevation (Fig 5 e,f). Thus, although the groups showed similar relationships in deformation
in Lcap/Lco, the relationship between the deep muscle deformation rates weakened with time
for the WAD group. In light of this finding and reports from other studies (Hodges et al.,
2013; Hug et al., 2013), it appears that comparing the individual relationships among muscles
is informative. In addition, ultrasound speckle tracking can be a complementary analysis to
neck muscle activations detected by EMG (Falla et al., 2004a).
The WAD group reported fatigue even before the first arm elevation, and the relationships
between several muscles had weakened after ten arm elevations. The deformation rate
included both acceleration and deceleration rates (RMS). Thus, both high deformation rates
and no correlations between muscles (e.g., when a car accelerates or brakes all the time) may
indicate an ineffective muscle activation pattern that could result from or cause fatigue and/or
pain.
Limitations and further recommendations
Ultrasound with post-process speckle tracking provides a non-invasive method to investigate
muscle deformation in real time (Lopata et al., 2010; Peolsson et al., 2012). However,
although the method was sucessfully validated against force measurements (Lopata et al.,
2010), more studies are required to validate this method. The probe pressure and possible
small neck movements during the test could have influenced the results. Also, the lack of
significant anatomical landmarks could have limited the precision of probe placement;
however, the bifurcation of the carotid artery (commonly at the C4 level) (Civielek et al.
2007) and the vertebral column were used as reference points. Another potential limitation of
the study was that the ROI was selected manually for each muscle of interest. Thus, like in
EMG investigations, the ROI may not adequately represent the whole muscle. Real time
ultrasound investigation causes some uncertainty if the probe is placed in the same area in all
study participants. However, we studied three ROIs that covered 30 mm of the muscle (probe
size 38 mm); this larger area would minimize the differences between inidviduals and
increase measurment accuracy. In the WAD group, eight (of 26) participants had neurological
symptoms (grade III); which could have affected the results, due to potential changes in
dorsal nerves and neck muscle interactions.
CONCLUSION
This study showed only a few group differences in the deformations and the deformation
rates in the SCM, Lcap, and Lco muscles when comparing individuals with WAD and
healthy controls. This study demonstrated that, in the control group, the deformations and
deformation rates in one muscle correlated with deformations and deformation rates in other
neck muscles. This interplay between muscles was altered in individuals with WAD. Further
studies are required to develop a mathematical model that can determine when the neck
muscle activation pattern becomes abnormal.
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Table 1. Characteristics of participants in the study
WAD (N=26)
Healthy controls
(N=26)
P
Gender, female (number and %) 20 (77%) 20 (77%) 1.0
WAD grade II/III (number) 18/8 0 0.001
Age (years; mean and SD) 37 (10.9) 37(10.9) 0.96
Injury durationa (months, mean and SD) 22 (7.7) 0 < 0.001
BMI b male (mean and SD) 25 (6.6) 25 (3.5) 0.81
BMI female (mean and SD) 25 (5.4) 22 (2.4) 0.01
Physical activity levelc (median and range) 2 (2 - 3) 4 (3 - 4) 0.001
Neck Disability Index d (mean and SD) 34 (13.4) 1 (1.6) 0.001
Pain previous week e (VAS; mean and SD) 50 (18.8) 1 (1.0) 0.001
a) Months since whiplash injury, range 6 to 36 months.
b) BMI; Body Mass Index (kg/m2).
c) Physical activity level over the prior 12 months (1 = inactivity, 2 = low activity, 3 =
moderate activity, 4 = high activity)
d) Neck Disability Index Score (0-100%) was based on 10 items; higher scores
represented higher disability.
e) VAS; Visual analogue scale, average pain in the prior week, range 0-100 mm, higher
rating represented higher pain intensity.
Table 2. Muscle deformations (% change in length) during the first (1st) and the tenth (10th) arm elevation. Total area represents the sum of
elongations and shortenings of the muscle, expressed as the median and interquartile range (IQR) for each group.
Control (n = 25) WAD (n= 25) Between groups Effect size Effect size
p-value p-value between groups 1st to 10tha
1st 10th 1st 10th 1st 10th 1st 10th Control WAD
Test timeb 2.38 (0.34) 2.38 (0.35) 2.50 (0.39) 2.42 (0.44) 0.18 0.72
Total area SCM 5.8 (4.5 – 11.5) 3.6 (2.1 – 5.9)* 5.2 (3.7 – 8.6) 3.5 (3.0 – 4.6)* 0.24 0.91 0.16 0.13 0.70 0.68
Lcap 10.8 (7.5 – 13.7) 6.7 (4.9 – 9.1)* 10.1 (7.1 – 12.6) 7.8 (5.3 – 13.0) 0.33 0.38 0.14 0.04 0.70 0.32
Lco 10.8 (7.5 – 13.3) 7.1 (4.8 – 11.7)* 9.3 (6.2 – 13.8) 7.9 (6.0 – 15.7) 0.56 0.26 0.08 0.16 0.42 0.11
Elongation SCM 2.6 (1.7 – 3.9) 1.2 (0.7– 2.7)* 1.4 (0.5– 3.3) 1.5 (1.1 – 2.8) 0.02 0.72 0.34 0.07 0.62 0.09
Lcap 4.2 (2.1 – 7.7) 2.8 (1.6 – 3.9) 4.0 (2.3 – 6.2) 2.8 (1.5 – 5.2) 0.83 0.38 0.03 0.05 0.28 0.39
Lco 2.9 (1.7 – 4.4) 3.0 (1.7 – 4.8) 2.3 (1.1 – 5.0) 3.2 (2.2 – 6.3) 0.55 0.55 0.09 0.08 0.08 0.44
Shortening SCM 3.3 (1.7 – 8.1) 1.4 (0.8– 3.0)* 3.6 (1.6 – 5.9) 1.9 (0.9 – 3.2)* 0.82 0.74 0.03 0.13 0.65 0.68
Lcap 6.3 (3.2 – 8.3) 4.2 (2.8 – 6.2)* 6.1 (2.6 – 7.9) 4.9 (2.4 – 7.2) 0.74 0.69 0.05 0.08 0.42 0.08
Lco 6.2 (5.0 – 11.0) 4.2 (2.6 – 7.7)* 6.4 (3.9 – 10.8) 4.7 (2.1 – 10.4) 0.85 0.66 0.12 0.06 0.55 0.35
a Effect size for the within group changes from the 1st to 10th arm elevation.
b Test time in seconds for the 1st and 10th arm elevation, mean (SD).
*Significant differences (p < 0.05) between the first and tenth arm elevations
Table 3. Correlations between the sternocleidomastoid (SCM), longus capitis (Lcap), and longus colli (Lco) muscles in deformations and
deformation rates during the first (1st) and tenth (10th) arm elevations for individuals with WAD and healthy controls.
Deformation
1st
Deformation
10th
Deformation rate
1st
Deformation rate
10th
Lcap Lco Lcap Lco Lcap Lco Lcap Lco
Control SCM .592** .502* .731** .802** .515* .780** .841** .836**
Lcap .371 .776** .575** .725**
WAD SCM .165 -.049 .398* .110 .658** .550** .347 .380
Lcap .356 .730** .654** .495*
*p<0.05, **p<0.01
Table 4.
Deformation rate (% deformation/s) in sternocleidomastoid (SCM), longus capitis (Lcap) and longus colli (Lco) during the first (1st) and tenth
(10th) arm elevations, mean (SD).
Control WAD Between groups Effect size Effect size
p-value p-value Between groups 1st to 10tha
1st 10th 1st 10th 1st 10th 1st 10th Control WAD
SCM 0.19 (0.07) 0.13 (0.04)* 0.19 (0.07) 0.15 (0.04)* 0.82 0.28 0.03 0.15 0.88 0.66
Lcap 0.28 (0.07) 0.22 (0.05)* 0.29 (0.08) 0.26 (0.07) 0.68 0.08 0.06 0.25 0.65 0.35
Lco 0.30 (0.08) 0.24 (0.07)* 0.33 (0.10) 0.29 (0.09) 0.22 0.03 0.18 0.31 0.62 0.30
a Effect size for the with-in group changes from the 1st to 10th arm elevation.
*Significant differences (p < 0.05) between first and tenth arm elevations
Fig. 1a. Position of the ultrasound probe.
Fig. 1b. Ultrasound imaging of ventral neck muscles during arm elevation. The arm was
raised to 90 degrees, and an adjustable horizontal bar was fixed with the index finger
touching the bar. The subject held a weight of 0.5 kg (women) or 1 kg (men) in the right
hand. A pair of customized contact switches was attached to the subject, one on the right
wrist and one on the right hip. The contact signal was recorded in the ultrasound machine in
the channel for the EKG system, to provide a cue for synchronizing data between the
ultrasonograph and the starts and stops of arm movements.. A metronome was set at 40 beats
per minute to maintain a steady pace during the examination. Each individual was asked to
stand in an upright, comfortable position, with feet behind a line marked on the floor. The
individual was then asked to hold the head steady, and when lifting the arm, to look at the
bar, and try to keep pace with the metronome. With the beat, they should begin to raise the
arm to the bar, and on the next beat, they should lower the arm to the switch contact with a
smooth motion. The examiner, a manual therapist experienced in ultrasound recordings of the
neck, held the probe. The other physiotherapist showed the participants how to perform the
test and assisted the ultrasound examiner; for example, at the request of the examiner, the
assistant might save the ultrasound imaging sequence in the ultrasound database. Thus, the
physiotherapist holding the probe could concentrate on holding the probe in a stable position
to capture clear images of the muscles of interest throughout the entire test.
Fig. 2. An ultrasound image showing superficial and deep ventral neck muscles. Three
regions of interest (ROIs; each indicated as a blue line with a square on each end) were
A
C
B
selected in each muscle for post-process speckle tracking analysis. A = Sternocleidomastoid,
B = Longus capitis, C = Longus colli.
Fig. 3. Different muscle deformation sequences that can occur during one arm elevation.
This diagram illustrates three different patterns of muscle deformations obtained for three
different individuals (each line represents deformations in one individual). Each line
represents the changes observed in the ROI (deformation %) in one muscle, during one arm
elevation. The region (area) below zero (negative values) represents muscle shortening and
the region (area) above zero (positive values) represents muscle elongation. The total area
(sum of negative and positive areas) represents the total muscle deformation during one arm
elevation. When the line crosses the 0% line, the muscle switches from shortening to
elongation, or vice versa.
a) b)
c) d)
e) f)
Fig. 4 a-f. Relationships between total deformation areas of muscle pairs. Linear
relationships between muscle pairs are shown for the first and tenth arm elevations.
(a,b) Relationships between sternocleidomastoid (SCM) and longus colli (Lco) muscles: (Top
panels) Controls showed amoderate linear relationship during the 10th (R2= 0.53) arm elevations
compared to the first (weak; R2 = 0.25); (bottom panels) individuals with WAD showed no linear
relationships (R2< 0.02).
(c,d) Relationships between SCM and longus capitis (Lcap) muscles: (Top panels) Controls
showed higher linear relationships (moderate) during the 10th (R2= 0.43) arm elevations
compared to the first (R2 = 0.35); (bottom panels) individuals with WAD showed no linear
relationships (R2= 0.08 to 0.03).
(e,f) Relationships between Lcap and Lco: Both groups showed moderate linear relationships
during the 10th arm elevations compared to the weak linear relationship at the first arm
elevations; (top panels) controls (R2 = 0.14 to 0.51); (bottom panels) individuals with WAD
(R2= 0.13 to 0.57).
a) b)
c) d)
e) f)
Fig. 5 a-f. Relationships between deformation rates of muscle pairs. Linear relationships
between muscle pairs are shown for the first and tenth arm elevations.
(a,b) Relationships between sternocleidomastoid (SCM) and longus colli (Lco) muscles: (Top
panels) Controls showed a strong linear relationship during both the 1st and the 10th arm
elevations (R2= 0.70); (bottom panels) individuals with WAD showed a weak linear relationships
during the tenth arm elevations (R2= 0.14) compared to the first (moderate; R2= 0.30).
(c,d) Relationships between SCM and Longus capitis (Lcap) muscles: (Top panels) Controls
showed a strong linear relationship during the 10th arm elevations (R2= 0.71) compared to the
first (moderate; R2 = 0.43); (bottom panels) individuals with WAD showed a weak linear
relationship during the 10th arm elevations (R2 = 0.07) compared to the first (moderate; R2 =
0.44).
(e,f) Relationships between Lcap and Lco muscles: (Top panels) controls showed equivalent
linear relationships during the 1st and 10th arm elevations (moderate; R2= 0.53); (bottom panels)
individuals with WAD showed a weak linear relationship during the 10th arm elevations (R2 =
0.19) compared to the first (moderate; R2 = 0.43).